Stars
Framework for evaluating Graph Neural Network models on semi-supervised node classification task
A curated list of adversarial attacks and defenses papers on graph-structured data.
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
A game theoretic approach to explain the output of any machine learning model.
A collection of important graph embedding, classification and representation learning papers with implementations.
Book about interpretable machine learning
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
A comprehensive collection of recent papers on graph deep learning
Python Implementation of Bertsimas's "Optimal classification trees".
A collection of research papers on decision, classification and regression trees with implementations.
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
An unofficial styleguide and best practices summary for PyTorch
Efficient reservoir sampling implementation for PyTorch
Generate embeddings from large-scale graph-structured data.
Graph Neural Network Library for PyTorch
Acceptance rates for the major AI conferences
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
It is open source ebook about TensorFlow kernel and implementation mechanism.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.